Hyeonwoo Yu

36 papers A* 2A 4Journal 28Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry.
CoRR
Jiung Yeon, Seongbo Ha, Hyeonwoo Yu
2026 J jnl
GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry.
IEEE Robotics Autom. Lett.
Jiung Yeon, Seongbo Ha, Hyeonwoo Yu
2026 J jnl
LAMP: Implicit Language Map for Robot Navigation.
CoRR
Sibaek Lee, Hyeonwoo Yu, Giseop Kim, Sunwook Choi
2026 J jnl
LangGS-SLAM: Real-Time Language-Feature Gaussian Splatting SLAM.
CoRR
Seongbo Ha, Sibaek Lee, Kyungsu Kang, Joonyeol Choi, Seungjun Tak, Hyeonwoo Yu
2026 J jnl
Memory-Efficient Voxelized Renderable Neural 3D Spatial Representation for Vision-Based Robotics.
IEEE Robotics Autom. Lett.
Howoong Jun, Seongbo Ha, Jaewon Lee, Hyeonwoo Yu, Songhwai Oh
2026 J jnl
RUSH: Recursive and Scalable 3D Coarse to Fine Path Planning.
IEEE Robotics Autom. Lett.
Hwajung Lee, Daegeol Ko, Jaehyuk Hur, Junwon Lee, Seongbo Ha, Jong Hwan Ko, Hyeonwoo Yu
2025 J jnl
AdS/Deep-Learning made easy II: neural network-based approaches to holography and inverse problems.
CoRR
Hyun-Sik Jeong, Hanse Kim, Keun-Young Kim, Gaya Yun, Hyeonwoo Yu, Kwan Yun
2025 J jnl
Bayesian NeRF: Quantifying Uncertainty With Volume Density for Neural Implicit Fields.
IEEE Robotics Autom. Lett.
Sibaek Lee, Kyeongsu Kang, Seongbo Ha, Hyeonwoo Yu
2025 J jnl
Efficient 3D Perception on Embedded Systems via Interpolation-Free Tri-Plane Lifting and Volume Fusion.
CoRR
Sibaek Lee, Jiung Yeon, Hyeonwoo Yu
2025 J jnl
LAMP: Implicit Language Map for Robot Navigation.
IEEE Robotics Autom. Lett.
Sibaek Lee, Hyeonwoo Yu, Giseop Kim, Sunwook Choi
2025 J jnl
LEGO-SLAM: Language-Embedded Gaussian Optimization SLAM.
CoRR
Sibaek Lee, Seongbo Ha, Kyeongsu Kang, Joonyeol Choi, Seungjun Tak, Hyeonwoo Yu
2025 J jnl
OpenMonoGS-SLAM: Monocular Gaussian Splatting SLAM with Open-set Semantics.
CoRR
Jisang Yoo, Gyeongjin Kang, Hyun-kyu Ko, Hyeonwoo Yu, Eunbyung Park
2025 J jnl
Spatial Coordinate Transformation for 3D Neural Implicit Mapping.
IEEE Robotics Autom. Lett.
Kyeongsu Kang, Seongbo Ha, Sibaek Lee, Hyeonwoo Yu
2024 J jnl
Bayesian NeRF: Quantifying Uncertainty with Volume Density in Neural Radiance Fields.
CoRR
Sibaek Lee, Kyeongsu Kang, Hyeonwoo Yu
2024 A conf
Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View.
IROS
Sibaek Lee, Kyeongsu Kang, Hyeonwoo Yu
2024 — conf
RGBD GS-ICP SLAM.
ECCV (36)
Seongbo Ha, Jiung Yeon, Hyeonwoo Yu
2024 J jnl
RGBD GS-ICP SLAM.
CoRR
Seongbo Ha, Jiung Yeon, Hyeonwoo Yu
2024 A conf
Renderable Street View Map-Based Localization: Leveraging 3D Gaussian Splatting for Street-Level Positioning.
IROS
Howoong Jun, Hyeonwoo Yu, Songhwai Oh
2023 J jnl
Just Flip: Flipped Observation Generation and Optimization for Neural Radiance Fields to Cover Unobserved View.
CoRR
Minjae Lee, Kyeongsu Kang, Hyeonwoo Yu
2023 J jnl
Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization.
CoRR
Kyeongsu Kang, Minjae Lee, Hyeonwoo Yu
2022 J jnl
Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder.
IEEE Robotics Autom. Lett.
Hyeonwoo Yu, Jean Oh
2021 J jnl
A Missing Data Imputation Method for 3D Object Reconstruction using Multi-modal Variational Autoencoder.
CoRR
Hyeonwoo Yu, Jean Oh
2021 J jnl
Anchor Distance for 3D Multi-Object Distance Estimation From 2D Single Shot.
IEEE Robotics Autom. Lett.
Hyeonwoo Yu, Jean Oh
2021 J jnl
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot.
CoRR
Hyeonwoo Yu, Jean Oh
2021 J jnl
Domain Adaptive Monocular Depth Estimation With Semantic Information.
CoRR
Fei Lu, Hyeonwoo Yu, Jean Oh
2021 J jnl
Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence.
CoRR
Hyeonwoo Yu, Jean Oh
2019 A* conf
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM.
ICRA
Hyeonwoo Yu, J. Y. Moon, Beom Hee Lee
2019 J jnl
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM.
CoRR
Hyeonwoo Yu, Beomhee Lee
2019 J jnl
Regeneration of Normal Distributions Transform for Target Lattice Based on Fusion of Truncated Gaussian Components.
IEEE Robotics Autom. Lett.
Hyunki Hong, Hyeonwoo Yu, Beom Hee Lee
2019 A* conf
Zero-shot Learning via Simultaneous Generating and Learning.
NeurIPS
Hyeonwoo Yu, Beomhee Lee
2019 J jnl
Zero-shot Learning via Simultaneous Generating and Learning.
CoRR
Hyeonwoo Yu, Beomhee Lee
2018 A conf
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM.
IROS
Hyeonwoo Yu, Beom Hee Lee
2018 J jnl
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM.
CoRR
Hyeonwoo Yu, Beom Hee Lee
2018 J jnl
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM.
CoRR
Hyeonwoo Yu, Beom Hee Lee
2017 — conf
A Bayesian approach to terrain map inference based on vibration features.
MFI
Hyeonwoo Yu, Beom Hee Lee
2017 A conf
A variational approach for 3D object classification with retrieval of missing data.
IROS
Hyeonwoo Yu, Beom Hee Lee